• Title/Summary/Keyword: Training Content

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Automation of Academic Libraries and Web Development: A Reverie or Reality

  • Emasealu, Helen Uzoezi
    • International Journal of Knowledge Content Development & Technology
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    • v.9 no.1
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    • pp.43-56
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    • 2019
  • The intricacies of web development have orchestrated a paradigm shift in academic libraries. The study explored literature on the status of automation of academic libraries and web development in Nigeria. It was established that the functions of library management software are abysmally under-utilized in academic libraries in Nigeria, thus, progression of automation projects remain a swinging pendulum. The paper, therefore, recommends that librarians should acquire the relevant training and plan strategically for all automation projects aimed at incorporating the intricacies of the web and ICTs into library services to fully utilize the functions of the library management systems in line with web developmental stages, thus, be able to compete globally.

A study on the comparison of preclinical and post-training satisfaction of dental technology students in COVID-19 (코로나19 상황에서 치기공과 학생들의 임상실습 전 기대도 및 실습 후 만족도 비교에 관한 연구)

  • Hwang, Jae-Sun
    • Journal of Technologic Dentistry
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    • v.44 no.2
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    • pp.38-46
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    • 2022
  • Purpose: This study aims to confirm the effect of clinical practice on dental technology students by comparing preclinical expectations and post-training satisfaction of dental technology students in Suwon-si, Gyeonggi-do during the coronavirus disease pandemic. Methods: This study included students enrolled in the Department of Dental Technology of D University in Suwon-si, Gyeonggi-do. The purpose of the study was explained in advance and 70 students agreed to participate in the survey. IBM SPSS Statistics version 18.0 was used for data analysis and the significance level was tested at p=0.05. Results: There were significant differences in clinical practice content, operation, institutional expectations, and satisfaction. Conclusion: Based on the differences in expectations and satisfaction in this study, schools, industries, and associations can study ways to increase satisfaction in terms of clinical practice content, operation, and institution to present directions for dental technology and clinical practice.

Proposal of Variable Scenario-based XR Education and Training Content to Improve Manufacturing Industry Work Ability (제조산업 업무 능력 향상을 위한 가변적 시나리오 기반 XR 교육훈련 콘텐츠 제안)

  • Gil, Young-Ik;Park, Jong-Hwa;Lim, Hyeon-Kyu;Kim, Jae-Hee;Jeon, Ji-Hye
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2021.07a
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    • pp.627-628
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    • 2021
  • 본 논문은 제조 산업 현장에서의 업무 능력 향상을 위한 XR 교육훈련 콘텐츠의 가변적 시나리오를 제안한다. 가변적 시나리오를 적용한 XR 교육훈련 콘텐츠는 교육훈련 관리자가 자유롭게 시나리오를 가감할 수 있어 동일한 콘텐츠 내에서 다양한 시나리오로 콘텐츠를 구성할 수 있는 특징을 가진다. 이는 기존 하나의 시나리오로 반복되는 교육훈련의 한계를 해결할 수 있으며, 현장에서 발생할 수 있는 돌발적 상황 및 변화되는 업무 프로세스를 효과적으로 진행할 수 있을 것이다.

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Evaluation of Almaty City Soil's Toxicity by the Representatives of the Microflora and Microfauna

  • Mynbayeva, Bakhyt N.;Esimov, Bolat K.
    • Korean Journal of Environmental Biology
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    • v.29 no.3
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    • pp.208-211
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    • 2011
  • The lowest amount of heavy metals was found outside the city (25 km away), the highest amount was found near the thermoelectric power plant, and the average amount was discovered in the central part of the city. The presence of heavy metals in soil samples resulted in reduction of several important soil characteristics (pH, humus content, soil "breathing"). Use of simple and quick methods to examine soil with high heavy metals pollution resulted in the discovery of a pedobiota group, consisting of nematodes, fungi (genus Fusarium) and Protozoa which indicated the toxicity of the Almaty city soils.

Study on Job Training for Specialty Enhancement of School Nutrition Teachers - In Gyeongbuk Area - (영양교사의 전문성 증진을 위한 직무연수에 관한 연구 - 경북지역 중심으로 -)

  • Park, Kyeung-Suk;Cho, Sung-Hee
    • Journal of the Korean Dietetic Association
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    • v.17 no.4
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    • pp.403-415
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    • 2011
  • The present study was performed to evaluate the job training needs of school nutrition teachers in order to enhance their specialty. Three hundred and forty questionnaires were distributed to school nutrition teachers working at primary and high schools in the Gyeongbuk area while 45 were distributed to professors during 2010~2011. Three hundred and two questionnaires from school nutrition teachers and 33 from professors were returned and analyzed. The rate of teachers practicing nutrition education was 54%, and the educational content was obtained mainly from the internet. The top three problems the teachers encountered were 'lack of standardized educational materials', 'inexperience of teaching', and 'insufficiency of expert knowledge'. The teachers recognized 'training program' as the best solution. However, the job training program operated immediately after teachers were appointed scored only 3.03 out of 5.00. Important contents of the training program ranked highly by the teachers were 'development of education materials', 'nutrition counseling', and 'teaching method'. The professors included 'expert knowledge' in their top three contents. Both the teachers and professors agreed to increase the frequency of 'practice' in training methods. Other factors the teachers considered to be important were high quality, diversity, ability of the instructor, training cycle, and the institution in charge. From these results, it can be concluded that efficient job training programs are needed for school nutrition teachers according to the importance of the education contents and training methods. It is therefore suggested that a cooperation committee be composed of an educator, educatee, and related personal in a local education office in order to operate the program.

An Analysis of Trainers' Perspectives within an Ecological Framework: Factors that Influence Mine Safety Training Processes

  • Haas, Emily J.;Hoebbel, Cassandra L.;Rost, Kristen A.
    • Safety and Health at Work
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    • v.5 no.3
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    • pp.118-124
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    • 2014
  • Background: Satisfactory completion of mine safety training is a prerequisite for being hired and for continued employment in the coal industry. Although training includes content to develop skills in a variety of mineworker competencies, research and recommendations continue to specify that specific limitations in the self-escape portion of training still exist and that mineworkers need to be better prepared to respond to emergencies that could occur in their mine. Ecological models are often used to inform the development of health promotion programs but have not been widely applied to occupational health and safety training programs. Methods: Nine mine safety trainers participated in in-depth semi-structured interviews. A theoretical analysis of the interviews was completed via an ecological lens. Each level of the social ecological model was used to examine factors that could be addressed both during and after mine safety training. Results: The analysis suggests that problems surrounding communication and collaboration, leadership development, and responsibility and accountability at different levels within the mining industry contribute to deficiencies in mineworkers' mastery and maintenance of skills. Conclusion: This study offers a new technique to identify limitations in safety training systems and processes. The analysis suggests that training should be developed and disseminated with consideration of various levels-individual, interpersonal, organizational, and community-to promote skills. If factors identified within and between levels are addressed, it may be easier to sustain mineworker competencies that are established during safety training.

Web Image Classification using Semantically Related Tags and Image Content (의미적 연관태그와 이미지 내용정보를 이용한 웹 이미지 분류)

  • Cho, Soo-Sun
    • Journal of Internet Computing and Services
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    • v.11 no.3
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    • pp.15-24
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    • 2010
  • In this paper, we propose an image classification which combines semantic relations of tags with contents of images to improve the satisfaction of image retrieval on application domains as huge image sharing sites. To make good use of image retrieval or classification algorithms on huge image sharing sites as Flickr, they are applicable to real tagged Web images. To classify the Web images by 'bag of visual word' based image content, our algorithm includes training the category model by utilizing the preliminary retrieved images with semantically related tags as training data and classifying the test images based on PLSA. In the experimental results on the Flickr Web images, the proposed method produced the better precision and recall rates than those from the existing method using tag information.

Content Analysis of Patient Safety Culture in Nursing Homes (노인요양시설의 환자안전문화 인식에 관한 귀납적 내용분석)

  • Yoon, Sook-Hee;Wu, XiangLian
    • Journal of Korean Academy of Nursing Administration
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    • v.19 no.1
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    • pp.118-127
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    • 2013
  • Purpose: The purpose of this study was to identify experiences of incidents and to explore the perceptions of Patient Safety Culture between two groups using nursing homes in Korea; employees and patients and their families. Methods: In 2010 in-depth interviews were used to collect data from 56 participants (38 employees, and 18 patients and family members). The data were analyzed using inductive content analysis. Results: The analysis scheme resulting from employees' data consisted of 7 categories and 22 subcategories, after 216 significant statements were analyzed and categorized. The 7 categories were education and training (24.5%), working attitude (23.6%), organizational system (19.0%), job satisfaction (18.5%), institutional environment (6.5%), manager leadership (4.2%), and work climate (4.7%). The analysis scheme resulting from patient and family data consisted of 6 categories and 7 subcategories after 24 significant statements were analyzed and categorized. Education and training among categories of employees were excluded. Conclusion: These findings indicate that an evaluation tool for patient safety culture should be developed for nursing homes in Korea.

Designing and Implementing Integrated Lessons for Pre-service Elementary Teachers' Technological Pedagogical Content Knowledge Development (예비 초등교사의 테크놀로지 교수학적 내용지식을 향상하기 위한 프로그램의 개발 및 적용)

  • Choi, Youngmi;Hong, Seung-Ho
    • Journal of Korean Elementary Science Education
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    • v.38 no.2
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    • pp.287-304
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    • 2019
  • Teaching with technology has been widespread in practical classroom settings, and increased the needs to enhance pre-service teachers' capability with a variety of technologies. The purpose of this study is focused on designing and implementing a training program to develop pre-service teachers' Technological Pedagogical Content Knowledge(TPACK) which promotes them use technologies tactically in integrated science classes. Based on the theoretical framework of TPACK and Practitioner's Guide to TPACK, the authors developed ten periods of lessons comprised instructional skills in elementary science education. Subsequently, the program was applied into a teacher trainee course in Korea. The results of this study indicate that the TPACK training program for pre-service teachers significantly influenced on attitude toward convergence, TPACK, and science teaching efficacy of the engaged participants. The developed program, meanwhile, caused a significant TPACK improvement of female participants of the teachers college more effectively. Furthermore, it mitigated the gap between science and humanity tracks coming from their high schools. Consequently, there are possibilities to improve pre-service teachers' teaching strategies for integrated classes, if they have opportunities to review the comprehensibility of technological, pedagogical, content knowledge, and intersected areas with metacognitive perspectives.

Human Detection using Real-virtual Augmented Dataset

  • Jongmin, Lee;Yongwan, Kim;Jinsung, Choi;Ki-Hong, Kim;Daehwan, Kim
    • Journal of information and communication convergence engineering
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    • v.21 no.1
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    • pp.98-102
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    • 2023
  • This paper presents a study on how augmenting semi-synthetic image data improves the performance of human detection algorithms. In the field of object detection, securing a high-quality data set plays the most important role in training deep learning algorithms. Recently, the acquisition of real image data has become time consuming and expensive; therefore, research using synthesized data has been conducted. Synthetic data haves the advantage of being able to generate a vast amount of data and accurately label it. However, the utility of synthetic data in human detection has not yet been demonstrated. Therefore, we use You Only Look Once (YOLO), the object detection algorithm most commonly used, to experimentally analyze the effect of synthetic data augmentation on human detection performance. As a result of training YOLO using the Penn-Fudan dataset, it was shown that the YOLO network model trained on a dataset augmented with synthetic data provided high-performance results in terms of the Precision-Recall Curve and F1-Confidence Curve.